Multi Factor SUR in Event Study Analysis : Evidence from M&A in SingaporeÃ¢â‚¬â„¢s Financial Industry
This paper proposes a use of multi-factor seemingly unrelated regression (SUR) in event study analysis to study mergers and acquisitions in Singapores financial industry. We also study the cross-sector (banking and insurance) domestic acquisition in Singapores financial industry. By contrasting to the use of ordinary least squares (OLS) method, it is found that OLS method seems to underestimate the value of the sample cumulative abnormal returns as compared to SUR. The study also found that post mergers and takeovers in banking and insurance industries tend to have high possibility of negative returns.
|Date of creation:||Jan 2006|
|Contact details of provider:|| Postal: JG Crawford Building #13, Asia Pacific School of Economics and Government, Australian National University, ACT 0200|
Web page: http://www.eaber.org
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Abhay Abhyankar & Keng-Yu Ho & Huainan Zhao, 2005. "Long-run post-merger stock performance of UK acquiring firms: a stochastic dominance perspective," Applied Financial Economics, Taylor & Francis Journals, vol. 15(10), pages 679-690.
- Abdul Magid Gadad & Hardy Thomas, 2005. "Sources of shareholders' wealth gains from asset sales," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 137-141.
When requesting a correction, please mention this item's handle: RePEc:eab:financ:22577. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shiro Armstrong)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.